论文部分内容阅读
降水量变化研究对于水资源安全、粮食安全十分重要。采用Mor l et小波函数对新密市1960-2010年的月、年和生长季降水量的距平和累积距平变化规律进行了小波分析,揭示新密市降水变化的时间多尺度特征。结果表明,51年来新密市月、年和生长季变化规律主要表现在3种尺度上,分别为4,8和17 a左右时间尺度的振荡。小波分析为研究降水量变化提供了独特优势。
Research on precipitation changes is very important for water resources security and food security. Morlet wavelet function was used to analyze the variation of rainfall anomaly and cumulant anomaly from 1960 to 2010 in Xinmi City by using wavelet analysis to reveal the temporal multi-scale characteristics of precipitation in Xinmi. The results show that the changes of monthly, annual and growing seasons in Xinmi City during the past 51 years are mainly manifested in three scales, which are oscillations on time scales of 4, 8 and 17 years respectively. Wavelet analysis provides a unique advantage for studying changes in precipitation.